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rayonlabs/Qwen2_5-7B-Instruct-orca_mini_uncensored-62308494-ba19-4e1f-8a78-afd21d23a45d

rayonlabs Qwen 7B
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Response includes
  • classification m-uncensored
  • files 4
  • benchmarks 16 entries
  • hub_downloads_all_time 31
  • author_summary 4 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
How we label → About M-U →
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · lifetime
31
12 last 30d - stable
Likes
0
Model age
19mo ago
created 2025-03-04
Downloads over time
Now37→from1↑3,600%
01427411 on Mar 5, 202537 on Oct 1137 on Oct 10Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 5, 2025 → Oct 11 · 123 snapshots · spans 585 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
BBH average 0.48553638604228827 OpenLLM-v2
IFEval instruct 0.7961630695443646 OpenLLM-v2
IFEval-Prompt 0.7208872458410351 OpenLLM-v2
MATH lvl 5 0 OpenLLM-v2
MMLU-Pro 0.4286901595744681 OpenLLM-v2
Entertainment 1.3 UGI
Hazardous 2.9 UGI
Natural Intelligence 15.76 UGI
Political lean -14.7% UGI
Sensitive-Info 15.62 UGI
SocPol 0.8 UGI
UGI 23.75 UGI
Willingness (10) 4 UGI
W10-Adherence 4 UGI
W10-Direct 4 UGI
Writing 29.72 UGI

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Qwen/Qwen2.5-7B-Instruct this lineage
rayonlabs/Qwen2_5-7B-Instruct-orca_mini_uncensored-62308494-ba19-4e1f-8a78-afd21d23a45d↓ 12

Metadata

Tags
peft generated_from_trainer base_model:Qwen/Qwen2.5-7B-Instruct base_model:adapter:Qwen/Qwen2.5-7B-Instruct region:us

Related

Other by rayonlabs
DeepSeek-R1-Distill-Llama-70B-abliterated-MATH-Hard-0ae2aade-8f72-41de-a669-52bcc9bafef6 18 falcon-7b-Jenna-50K-Alpaca-Uncensored-acff8e87-754b-4962-9858-71d1b30ca5a9 4 Llama-3-8B-Lexi-Uncensored-RAG-Instruct-343dd08e-30c4-4fb0-9b2a-455cd4ac8b9e 0
Same base model
QuantFactory/Qwen2.5-7B-Instruct-abliterated-v2-GGUF 15K QuantFactory/Qwen2.5-7B-Instruct-Uncensored-GGUF 13K huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2 7K richardyoung/Qwen2.5-7B-Instruct-abliterated-GGUF 6K Orion-zhen/Qwen2.5-7B-Instruct-Uncensored 4K
Total size
308 MB
Files
4
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-03-04 13:39
Source huggingface.co/rayonlabs/Qwen2_5-7B-Instruct-orca_mini_uncensored-62308494-ba19-4e1f-8a78-afd21d23a45d ↗ Base model Qwen/Qwen2.5-7B-Instruct ↗

Files by quantization

Auxiliary files 4 files 308 MB
adapter_model.bin 308 MB 2e49e417 download
.gitattributes 1.48 KB a6344aac download
README.md 843 B f5d67b40 download
adapter_config.json 804 B 2a52090b download

README current version from Hugging Face

library_name: peft
tags:

  • generated_from_trainer
    base_model: Qwen/Qwen2.5-7B-Instruct
    model-index:
  • name: nathanialhunt2000/fdfcbbc4-4258-44f1-971c-17b3cb6d010c
    results: []

nathanialhunt2000/fdfcbbc4-4258-44f1-971c-17b3cb6d010c

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:

  • Loss: 0.0132

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2025-03-04Duplicate from nathanialhunt2000/fdfcbbc4-4258-44f1-971c-17b3cb6d010c6c48abe843 B
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Discussions 1 thread

  1. 2025-04-28PRImprove language tagopen1 💬#1
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